Pure Time Research Articles

Weight Is a Predictor of Delayed Operation Time in Primary Isolated Anterior Cruciate Ligament Reconstruction.

Few studies have evaluated the impact of obesity on operation time in patients with ACL reconstruction. The purpose of this study was to understand the effect of obesity on operation time in patients with arthroscopic anterior cruciate ligament (ACL) reconstruction. A total of 103 patients were included. The mean pure operation time was 45.9 ± 13.4 min. Considering that 15 min incremental increases in operation time are an independent risk factor for complications, all patients were classified into two groups according to operation time: more or less than 61 min. Demographic data were compared between both groups. Pure operation time was defined as operative time without suture time (pure operation time = suture start time - operation start time). Correlation analysis between demographic data and pure operation time was performed, and multiple linear regression analysis was used to identify the predictors of pure operation time. The pure operation time ≥61 min group (n = 34) had a 14.7 kg higher weight and 4.5 kg/m2 higher body mass index (BMI) than those with pure operation time < 61 min (n = 69). Weight (r = 0.635, p < 0.001) and BMI (r = 0.584, p < 0.001) were positively correlated with operation time. Multiple linear regression analysis showed that weight (β = 0.635, p < 0.001) was the only predictor of operation time. A weight of 74.25 kg was a cut-off value for a pure operation time of >61 min. The weight and BMI of the group with pure operation time of ≥61 min were 14.7 kg and 4.5 kg/m2 higher, respectively. The weight of patients with ACL tears was a factor affecting delay in the operation time. Patients weighing over 74.25 kg were more likely to delay ACL reconstruction.

Prediction of Arrival Time of Pure Electric Bus Based on FA-BP Algorithm

To establish a suitable pure electric bus arrival time prediction model, this paper takes pure electric bus as the research object. Based on the analysis of the influencing factors of the arrival time of the pure electric bus, the BP neural network arrival time prediction model optimized by the firefly algorithm (FA-BP prediction model) is established by selecting vehicle type, SOC value, battery age, and time as input conditions. The model is trained and tested by using bus operation data. The root mean square error of the Kalman filter model is 0.351, of the BP neural network model is 0.059, and of the FA-BP prediction model is 0.04. The results show that the model in this paper effectively improves the prediction accuracy and has good reliability and feasibility. It can provide some theoretical references for pure electric bus operation and managers and provide some basis for improving bus reliability.

Social bias, not time bias

People seem to have pure time preferences about trade-offs concerning their own pleasures and pains, and such preferences contribute to estimates of people's individual time discount rate. Do pure time preferences also matter to interpersonal welfare trade-offs, including those concerning the welfare of future generations? Most importantly, should the intergenerational time discount rate include a pure time preference? Descriptivists claim that the intergenerational discount rate should reflect actual people's revealed preferences, and thus it should include a pure time preference. Prescriptivists claim that the intergenerational discount rate should be based on moral analysis, and thus they (often) claim that the rate of pure time preference should be zero. I argue that regardless of which view is correct, a focus on pure time preference is misplaced. First, the most plausible interpretation of descriptive preferences for intergenerational trade-offs is that people are socially biased and not time biased. Second, social bias is superior to time bias as a prescriptive reason to discount the welfare of future people. Third, recent advances in measuring social bias as a social discount rate make social bias a viable replacement for time bias in economic analyses of intergenerational welfare trade-offs.

Comparison of Real Estate Price Prediction Based on LSTM and LGBM

Housing price prediction is one of the widely discussed topics, and the application of machine learning and deep learning models to housing price prediction is a research hotspot. Exploring which models are suitable for predicting real housing price datasets has significant implications for guiding government and homebuyers' decision-making. In this study, the LSTM and LightGBM models were selected as research objects, and the suitability of the models was explored and compared using the second-hand housing price dataset in Beijing. Based on the analysis, in the task of pure time series prediction based on historical housing prices, the LSTM model had a better fit (R2=0.91), while in the task of housing price prediction based on multiple influencing factors, the LightGBM model had better comprehensive evaluation index results (R2=0.53). Both models can be used to predict pure time series, but the LSTM model is not suitable for predicting multi-factor input models that are not time series.

Automatic Clustering and Fuzzy Logical Relationship to Predict the Volume of Indonesia Natural Rubber Export

Natural rubber is one of the pillars of Indonesia's export commodities. However, over the last few years, the export value of natural rubber has decreased due to an oversupply of this commodity in the global market. To overcome this problem, it is possible to predict the volume of Indonesia natural rubber exports. Predicted values can also help the government to compile market intelligence for natural rubber commodities periodically. In this study, the prediction of the export volume of natural rubber was carried out using the Automatic Clustering as an interval maker in the Fuzzy Time Series or usually called Automatic Clustering and Fuzzy Logical Relationship (ACFLR). The data used is 51 data per year from 1970 to 2020. The purpose of this study is to predict the volume of Indonesia natural rubber exports and compare the prediction results between the Automatic Clustering and Fuzzy Logical Relationship (ACFLR) and Chen's Fuzzy Time Series. The results showed that there was a significant difference between the two methods, ACFLR got 0.5316% MAPE with and Chen's Fuzzy Time Series model got 8.009%. Show that the ACFLR method performs better than the pure Fuzzy Time Series in predicting volume of Indonesia natural rubber exports.

A new model for evaluating rock drillability considering the rock plasticity and chip hold down effect caused by hydrostatic column pressure under high confining pressure

The Yingqiong Basin in the northern part of the South China Sea is a region with large natural gas reserves. However, the high formation pressure and hydrostatic column pressure of the extra-thick mudstone section in this area present significant challenges to drilling operations. The mudstone has high plasticity and is very hard, and its thickness accounts for only 40% of the total footage, which results in pure drilling time accounting for over 75% of the total drilling time. To accelerate the rate of penetration (ROP) in this area, this study investigates the rock mechanics characteristics of mudstone under high confining pressure through experimental methods. The study reveals that the strength of the mudstone increases rapidly with increasing confining pressure, and the critical transformation stress of bottom-hole mudstone is around 45 MPa. Moreover, a cylindrical-cutter micro bit was developed, and the drillability of mudstone was tested under high confining pressure and hydrostatic column pressure, which further confirms that 45 MPa is the critical stress for a sudden increase in mudstone's drillability. Based on multiple regression analysis, the acoustic interval transit time, hydrostatic column pressure, and argillaceous content were identified as strong correlation parameters for the drillability of plastic mudstones. A new model for evaluating rock drillability considering rock plasticity and chip hold down effect caused by hydrostatic column pressure was developed, which provides effective guidance for the optimal design of bits and drilling fluid density in the extra-thick mudstone formations of the Yingqiong Basin. This study provides theoretical and technical support for the economic and efficient development of high-pressure gas fields in this area.

The comparison of short-term outcomes between robotic and laparoscopic radical distal gastrectomy

PurposeThe study’s objectives were to compare the short-term outcomes of robotic radical distal gastrectomy (RDG) with laparoscopic radical distal gastrectomy (LDG) for patients with gastric cancer and investigate the learning curve of RDG.MethodsThe cumulative sum (CUSUM) method was used to retrospectively analyze consecutive gastric cancer patients undergoing RDG between January 2019 and October 2021. The duration of surgery, clinical-pathological characteristics, and short-term outcomes were evaluated according to the two phases of the learning curve (learning period versus mastery period). We also compared the clinical-pathological characteristics and short-term outcomes between cases in the mastery period and LDG.ResultsData from 290 patients were included in this analysis, 135 RDG and 155 LDG cases. The learning period was 20 cases. There were no significant differences in clinical-pathological characteristics between the learning period and mastery period. Compared with the learning period, the mastery period had a significant reduction in total operation time, docking time, pure operation time, and estimated blood loss, and a significant increase in hospital costs (P=0.000, 0.000, 0.000, 0.003, and 0.026, respectively). Compared with LDG, robotic cases in mastery period had a longer operative time, shorter first postoperative flatus time, and more hospital costs (P=0.000, 0.005, and 0.000, respectively).ConclusionsRGD may fasten to recover gastrointestinal function faster after the operation, can be mastered easily after a reasonable number of cases, and was associated with safe and satisfactory short-term outcomes before and after the learning curve.

An advanced control strategy for engine thermal management systems with large pure time delay

Stable and precise temperature control can effectively improve the engine’s fuel consumption and emissions. An advanced engine thermal management system (AETMS) composed of electric actuators has great potential in increasing the temperature tracking control accuracy and decreasing the system energy consumption. Time-varying disturbance and pure time delay in the system make it challenging to harmoniously control multiple actuators to ensure efficient temperature tracking performance. In addition, a reasonable power distribution of the actuators is beneficial to reduce the parasitic energy consumption of the system and further improve the system efficiency. In this article, an adaptive optimization control strategy consisting of a state predictor, a disturbance estimator, an energy consumption optimization block and a state tracking controller is proposed for the temperature tracking and energy consumption optimization of AETMS. Experimental verification was performed on a range extender bench of an extended-range electric vehicle, and the results show that the system achieves high-precision temperature control and energy consumption near the theoretical optimal value under changing working conditions. The temperature steady-state error is within 0.3 oC, and the temperature adjustment time is within 100 s after the first overshoot.

Deterministic learning-based neural network control with adaptive phase compensation

Under the persistent excitation (PE) condition, the real dynamics of the nonlinear system can be obtained through the deterministic learning-based radial basis function neural network (RBFNN) control. However, in this scheme, the learning speed and accuracy are limited by the tradeoff between the PE levels and the approximation capabilities of the neural network (NN). Inspired by the frequency domain phase compensation of linear time-invariant (LTI) systems, this paper presents an adaptive phase compensator employing the pure time delay to improve the performance of the deterministic learning-based adaptive feedforward control with the reference input known a priori. When the adaptive phase compensation is applied to the hidden layer of the RBFNN, the nonlinear approximation capability of the RBFNN is effectively improved such that both the learning performance (learning speed and accuracy) and the control performance of the deterministic learning-based control scheme are improved. Theoretical analysis is conducted to prove the stability of the proposed learning control scheme for a class of systems which are affine in the control. Simulation studies demonstrate the effectiveness of the proposed phase compensation method.

The diagnostic accuracy of 332 incisional biopsies in patients with malignant tumors in the musculoskeletal system

BackgroundIt is known that specimen collection followed by histopathological workup is the core of evidence-based medical therapy of musculoskeletal tumors. There exist many controversies about how a biopsy should be performed. While some centers recommend minimal invasive biopsy procedures, mostly the core needle biopsy (CNB), others prefer the incisional biopsy.Purpose of the studyThis study aimed to determine the accuracy of incisional biopsy for malignant tumors in the musculoskeletal system. Moreover, advantages and disadvantages to other biopsy methods are discussed.MethodsThis retrospective, single-center study about 844 incisional biopsies (benign and malignant) analysis the diagnostic accuracy of 332 malignant tumors, concerning the final histopathological result. In addition, surgical complications are analyzed to find the best way to plan and treat patients timely and correct. Secondary endpoints are the patients age, the pure operation time, as well as the type of tumor, and the subsequent therapy.ResultsIn summary, incisional biopsy corresponded a sensitivity of 100% for malignancy in 844 incisional biopsies and a specificity of 97.6% in 332 malignant tumors, but it features greater operative expense (incision/suture 23.5 min) and the risk of general anesthesia.ConclusionThe method of biopsy should be tailored to the individual patient and the experience of the center performing the procedure.

Contextual and pure time coding for self and other in the hippocampus.

Navigation and episodic memory depend critically on representing temporal sequences. Hippocampal 'time cells' form temporal sequences, but it is unknown whether they represent context-dependent experience or time per se. Here we report on time cells in bat hippocampal area CA1, which, surprisingly, formed two distinct populations. One population of time cells generated different temporal sequences when the bat hung at different locations, thus conjunctively encoding spatial context and time-'contextual time cells'. A second population exhibited similar preferred times across different spatial contexts, thus purely encoding elapsed time. When examining neural responses after the landing moment of another bat, in a social imitation task, we found time cells that encoded temporal sequences aligned to the other's landing. We propose that these diverse time codes may support the perception of interval timing, episodic memory and temporal coordination between self and others.

Degradation of Milkfish Bone (Chanos- chanos Forsskal) with Pure Papain Enzyme Concentration and Heating Time

Aim: This study aimed to determine the physicochemical characteristics of calcium phosphate derivatives of milkfish bones (Chanos-chanos Forsskal) with treatment pure papain enzyme concentration and heating time.&#x0D; Study Design: The experimental design used was a factorial complete randomized design, namely factor A = hydrolysis with the use of pure papain enzymes and factor B was heating time using a temperature of 60oC, each treatment was repeated 3 times.&#x0D; Place and Duration of Study: Research was carried out from September 2018 to July 2019, Agroindustry Workshop, and Chemical Laboratory, Department of Fishery Product Processing Technology, Pangkep State Agricultural of Polytechnic, Physics Laboratory, Science Center, Faculty of Mathematics and Natural Sciences, Hasanuddin University, Chemistry Laboratory, Makassar State Islamic University, Inorganic Chemistry Laboratory MIPA Lampung State University.&#x0D; Methodology: Milkfish bones were added with distilled water and pure papain enzyme at pH 8 with a concentration of 4%, 6% and 8%, degraded by heating at 60°C for 6, 8, and 10 hours after extraction, result were then dried in oven at 50°C. After drying, it ground with a bone crusher. The flour was analyzed, namely: physical tests including yield, whiteness degree, proximate test including moisture content, ash content, protein content, fat content, calcium, phosphorus, functional groups using FTIR, crystallinity using XRD, morphology using SEM/EDS.&#x0D; Results: The results of the analysis of the concentration of pure papain enzyme 8% with a heating time of 10 hours gave the best result, obtained 3.24% moisture content, 83.28% ash content, 10.28% protein, 3.20% fat, 49.30% calcium, 29.17% phosphorus, 7.16% yield, 88.68% whiteness. FTIR analysis has carboxyl groups (OH-), carbonate groups (CO32-) and phosphate groups (PO43-). These are the main components of hydroxyapatite formation where the phosphate absorption band spectra (PO43-) are at a wave frequency of 403.60 cm-1 with an intensity 36.568% is V3PO43- The crystallinity of calcium phosphate derivatives is 74.53% µm hydroxylapatite, 11.94% tricalcium phosphate µm, 13.53% dicalcium phosphate µm. Morphology of Calcium Phosphate Derivative Compounds using XRD, which showed a degree of crystallinity of 73.04% and a crystal size of 4.717 µm.&#x0D; Conclusion: The result of the analysis obtained by the combination treatment of pure papain enzyme concentration of 8% with a heating time of 10 hours are the best of the other treatment.

String stability of automated vehicles based on experimental analysis of feedback delay and parasitic lag

Recent literature shows that automated vehicle (AV) significantly impacts traffic flow stability. However, as a widely used longitudinal AV technology, the Adaptive Cruise Control (ACC) system still has several unknown features that lack field data for modeling. We ran a series of novel tests with two ACC vehicles to simulate the behavior of the AV platoon in the field experiment. We designed a linear car-following controller in the upper layer system and tested the string stability of the ACC vehicle platoon. Data is collected through the vehicle's GPS sensor and upper controller. These data can help us estimate the feedback delay in the upper layer and parasitic lag in the lower layer. The data analysis results specify the range of different time delays and further optimize the dynamic response model in the lower layer. Then we propose an improved longitudinal model based on a first-order inertia system with a pure time delay in the dynamic response process. The experimental results show that the improved longitudinal model is twenty percent more accurate than the traditional first-order inertia model. Finally, we analyze the string stability of the improved longitudinal model. The results indicate that the improved longitudinal model has more strict stability conditions than the traditional model. Although the current feedback delay can satisfy the string stability criterion, the parasitic lag in the dynamics response process cannot satisfy the stability criterion. In this study, a customized ACC car-following controller is implemented in the field experiments, and thus all hypotheses and analysis results are validated by field data.

A New Architecture for Customizable Exergames: User Evaluation for Different Neuromuscular Disorders.

This paper presents a modular approach to generic exergame design that combines custom physical exercises in a meaningful and motivating story. This aims to provide a tool that can be individually tailored and adapted to people with different needs, making it applicable to different diseases and states of disease. The game is based on motion capturing and integrates four example exercises that can be configured via our therapeutic web platform “Blexer-med”. To prove the feasibility for a wide range of different users, evaluation tests were performed on 14 patients with various types and degrees of neuromuscular disorders, classified into three groups based on strength and autonomy. The users were free to choose their schedule and frequency. The game scores and three surveys (before, during, and after the intervention) showed similar experiences for all groups, with the most vulnerable having the most fun and satisfaction. The players were motivated by the story and by achieving high scores. The average usage time was 2.5 times per week, 20 min per session. The pure exercise time was about half of the game time. The concept has proven feasible and forms a reasonable basis for further developments. The full 3D exercise needs further fine-tuning to enhance the fun and motivation.

Stabilizing and Improving Qubit Coherence by Engineering the Noise Spectrum of Two-Level Systems

Superconducting circuits are a leading platform for quantum computing. However, their coherence times are still limited and exhibit temporal fluctuations. Those phenomena are often attributed to the coupling between qubits and material defects that can be well described as an ensemble of two-level systems (TLSs). Among them, charge fluctuators inside amorphous oxide layers contribute to both low-frequency $1/f$ charge noise and high-frequency dielectric loss, causing fast qubit dephasing and relaxation. Moreover, spectral diffusion from mutual TLS interactions varies the noise amplitude over time, fluctuating the qubit lifetime. Here, we propose to mitigate those harmful effects by engineering the relevant TLS noise spectral densities. Specifically, our protocols smooth the high-frequency noise spectrum and suppress the low-frequency noise amplitude via depolarizing and dephasing the TLSs, respectively. As a result, we predict a drastic stabilization in qubit lifetime and an increase in qubit pure dephasing time. Our detailed analysis of feasible experimental implementations shows that the improvement is not compromised by spurious coupling from the applied noise to the qubit.

Robotic approach for pediatric pulmonary resection: preliminary investigation and comparative study with thoracoscopic approach.

Minimal invasive pulmonary resection in children is challenging, irrespective of whether it is conducted using a robot or a thoracoscope. This study presents the preliminary results of pediatric robotic pulmonary resection (RPR) and comparison outcomes with conventional thoracoscopic pulmonary resection (TPR). This is a retrospective study conducted in patients underwent RPR (RPR group; n=30) and TPR (TPR group; n=44). The clinical data, including operative time, post-operative body temperature, surgical complications, surgeon's workload (by NASA-TLX), postoperative hospital stay, and scar score (using the SCAR scale), of both the RPR and TPR groups were collected and compared. Both groups had similar age and weight. The youngest patient belonged to the RPR group and was 6 months old and weighed 8 kg. One case in the RPR group and two in the TPR group were converted to thoracotomy. RPR had a longer total operative time (148.3±36.8 min), but a shorter pure operative time (103.9±28.5 min) than those of the TPR group [118.3±22.5 (P<0.001) and 111.4±18.3 min (P=0.045), respectively]. Compared to the TPR group, fewer patients in the RPR group reported fever postoperatively (2/29 vs. 11/42, P=0.039). The workload of the surgeons was also lower in the RPR group (55.2±4.7 vs. 62.9±6.0, P<0.01). No significant difference was observed in perioperative complications, drainage length, postoperative hospital stays, and scar score of the two groups. The safety and effectiveness of the robotic approach are similar to those of the thoracoscopic surgery for pediatric pulmonary resection in children heavier than 8 kg. In addition, the robotic approach shows improved operative dissection efficiency and accuracy for patients and reduced workload for surgeons. Hence, it is beneficial to both surgeons and patients.

To weigh or not to weigh. Recommendations for communicating aggregated results of buildings LCA

Interpreting contradictory results of multiple midpoint environmental indicators is challenging task. Hence, partial or full aggregation into building single scores has gained ground for the clear message they convey. This paper helps to improve understanding of the possibilities and limitations of such practice. Partial aggregated scores of five buildings were explored, limited to the environmental indicators shared by the methods examined and inventoried for the case studies. In general, the buildings’ single score ranking was maintained regardless of the aggregation approach, but rank reversal is possible if e.g., ecotoxicity impact indicators are considered. Such indicators are directly influenced by the mass of metals used in a building. Furthermore, uncertainties on their results, in LCI data and in impact and damage assessment are high, and experience with them is still limited. No single best aggregation stands out per se. All of them can play their part if officially supported to ensure that coherent weights/factors are built upon solid, up-to-date data and fair intergenerational and income equity valuation procedures. In such cases, LCA practitioners are encouraged to use single scores in addition to environmental profiles or selected indicators. Overall aggregation procedures shall be transparently described, and zero pure time preference rate and equity weighting applied and explicitly declared. Sensitivity/uncertainty analysis shall be performed to assess results robustness, potential ranking reversal risks, and the effect of different discount rates. When partial aggregation is alternatively pursued, it shall be based on endpoint categories.

Time diffraction-free transverse orbital angular momentum beams

The discovery of optical transverse orbital angular momentum (OAM) has broadened our understanding of light and is expected to promote optics and other physics. However, some fundamental questions concerning the nature of such OAM remain, particularly whether they can survive from observed mode degradation and hold OAM values higher than 1. Here, we show that the strong degradation actually origins from inappropriate time-delayed kx–ω modulation, instead, for transverse OAM having inherent space-time coupling, immediate modulation is necessary. Thus, using immediate x–ω modulation, we demonstrate theoretically and experimentally degradation-free spatiotemporal Bessel (STB) vortices with transverse OAM even beyond 102. Remarkably, we observe a time-symmetrical evolution, verifying pure time diffraction on transverse OAM beams. More importantly, we quantify such nontrivial evolution as an intrinsic dispersion factor, opening the door towards time diffraction-free STB vortices via dispersion engineering. Our results may find analogues in other physical systems, such as surface plasmon-polaritons, superfluids, and Bose-Einstein condensates.

Finite-time energy-to-peak control for Markov jump systems with pure time delays

This study investigates finite-time energy-to-peak control for pure-time-delay Markov jump systems. The main objective is to obtain some theorems such that the corresponding pure-time-delay Markov jump systems are finite time energy-to-peak stable or stabilizable. First, based on mathematical transformation, the pure-time-delay Markov jump systems are described in a model description that includes the current system state and several distributed time-delay items. Second, according to linear matrix inequality (LMI) theory, a positive energy functional is constructed, which includes a triple integral item. Then, after some mathematical operations, some sufficient conditions are obtained for Markov jump systems to be finite-time energy-to-peak stable or stabilizable. The obtained results are expressed in LMIs, which can be conveniently solved by computers. Finally, examples are given to show the usefulness of the obtained theorems.

On the purity of European consciousness in the existential anthropology of early M. Heidegger

Purpose. The purity of consciousness in European culture has practically been turned into an abstraction. Because of this, there are so many discrepancies in understanding its nature. For Heidegger, the question of the purity of human consciousness remains open. Our purpose is to study the purity of European consciousness in the work of M. Heidegger. Theoretical basis. We draw on the deep foundations of existential, phenomenological, hermeneutic, religious-philosophical and postmodern Western and Eastern thought. Originality. While the early Heidegger was thinking under the sign of Dasein, he did not hear the nature of the "pure consciousness" of human. Nevertheless, temporality for him was such a fundamental property that it determined the depth of understanding not only of being, but also of human consciousness itself (like Dasein). In this context, we begin to understand that the depth of consciousness in the concept of early Heidegger can be associated with its temporality. In fact, towards the end of "Being and Time", Heidegger, thinking more and more about the understanding of time from the horizon of being, begins to form similar ideas about understanding itself, that is, about human consciousness, in the sense that consciousness itself arises from the horizon of time (and being). What, then, is pure human consciousness the pure time? Does not this mean that the original meaning of consciousness is in its directed temporalizing. This temporalizing of consciousness of human (as a thinking being), which arises from the future, is perceived in three modes and reveals the fundamental nature of the consciousness itself (thinking is a stream of consciousness and, in such a context, directed understanding). Paraphrasing Heidegger, we say that the ontological meaning of pure human consciousness is revealed as temporality. Already after writing Being and Time, Heidegger thinks about the origins of the European consciousness, its comprehending from the depths (originality) of the being of European culture. Conclusions. The early Heidegger seeks the purity of being and, at the same time, strives more and more to understand the essence of the purity of human thinking. All of Heidegger’s work is a consistent transition from human understanding of the purity of being (Dasein) to the purity of thinking of a human himself. In this sense, there is a transformation of M. Heidegger’s consciousness from fundamental ontology (Dasein) in the early period to existential anthropology (human consciousness) in the late period.